script to save dataframe to a file only if there are no uncommitted files

save_for_regression.py

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+# when run
+# checks if there is uncommitted code
+# if there is uncommitted code, ti retuns an error
+# if there is no uncommitted code, it saves the dataframe as a parquet file with the commit hash in the name
+
+import pytest
+import pandas as pd
+from result_data_processor import ResultDataProcessor
+
+import os
+
+import subprocess
+
+def has_uncommitted_changes(repo_path):
+    try:
+        # Change to the repository directory
+        original_path = os.getcwd()
+        os.chdir(repo_path)
+
+        # Run the git status command
+        result = subprocess.run(['git', 'status', '--porcelain'], stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
+
+        # Check the result
+        if result.returncode != 0:
+            print(f"Error checking git status: {result.stderr}")
+            return False
+
+        # If the output is empty, there are no uncommitted changes
+        return bool(result.stdout.strip())
+
+    finally:
+        # Change back to the original directory
+        os.chdir(original_path)
+
+if __name__ == '__main__':
+    if has_uncommitted_changes('.'):
+        print("There are uncommitted changes")
+    else:
+        print("There are no uncommitted changes")
+        df_current = ResultDataProcessor().data
+        last_commit = os.popen('git rev-parse HEAD').read().strip()
+        print(last_commit)
+        # save the current output to a file
+        df_current.to_parquet(f'output_{last_commit}.parquet', index=True)
+        print("Saved output to file")
+